Job Description
Are you ready to define the technological landscape of 2026? Nexus Future Labs is seeking a visionary Senior AI/ML Engineer to lead our next-generation initiatives in Generative AI and Autonomous Systems. We are not just building software; we are architecting the intelligence of tomorrow.
In this pivotal role, you will collaborate with a world-class team of data scientists and researchers to develop cutting-edge algorithms that solve complex, real-world problems. If you are passionate about pushing the boundaries of artificial intelligence and want to work in an environment that rewards innovation and excellence, we want to hear from you.
Why join us?
- Work on projects that directly impact the future of industry.
- Competitive compensation package with equity options.
- Top-tier benefits and flexible remote-first culture.
Responsibilities
- Model Development: Design, train, and deploy state-of-the-art machine learning models, including Large Language Models (LLMs) and computer vision systems.
- System Architecture: Architect scalable, high-performance ML pipelines and data infrastructure to support production-grade applications.
- Optimization: Continuously monitor, evaluate, and optimize model performance to ensure accuracy, efficiency, and reliability.
- Research: Stay abreast of the latest advancements in AI research and apply novel techniques to our product suite.
- Cross-Functional Collaboration: Partner with product managers and engineers to translate technical requirements into robust engineering solutions.
- Mentorship: Guide junior engineers and data scientists, fostering a culture of technical excellence and growth.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Mathematics, Statistics, or a related field.
- Experience: 5+ years of professional experience in Machine Learning or AI Engineering.
- Programming: Expert proficiency in Python and deep understanding of software engineering best practices.
- Frameworks: Proven experience with ML frameworks such as TensorFlow, PyTorch, or JAX.
- Cloud: Strong experience deploying models on cloud platforms (AWS, GCP, or Azure).
- Problem Solving: Demonstrated ability to tackle complex, unstructured problems with innovative solutions.